Cpp

说明：  UR旋转矢量转化，转化为RPY坐标，更加适合编程，非常靠谱(UR Rotation Vector Conversion)

收集了华为五轮面试的经验，还有中兴通信的面试宝典，非常不错的资料 (Huawei five interviews to collect experience, and ZTE interview book, very good information)

利用3GPP交织器和LTE交织器完成turbo码的仿真并做比较，不同解码算法的比较(Using 3GPP Interleaver and complete LTE interleaver turbo code simulation and comparison, a comparison of different decoding algorithms)

无线hart开发实现与测试,包含所有功能的说明与测试(wireless hart)

Farrow 滤波器设计经典文章，作者是：FM.Gardner，farrow滤波器设计的始祖，经典值得推荐！（两篇文章）(Farrow filter design classic article, the author is: FM.Gardner, farrow filter design ancestor, classic worth recommending! (Two articles))

该程序为bellhop多径信道模型，其通信距离为5KM(The procedure for the bellhop multipath channel model, the communication distance of 5KM)

采用Log-BP算法的LDPC码译码仿真程序,给出了不同信噪比下误码率和误包率的统计图,用matlab和Cc-mex程()

ofdm的matlab仿真以及信道估计，瑞利多普勒信道(the matlab simulation of ofdm channel estimation, Rayleigh Doppler channel)

In this paper, we present and analyze efficient frame synchronization and frequency offset compensation scheme with ternary sequences for an orthogonal frequency division multiplexing (OFDM) system in Rayleigh fading channels. Frame synchronization is an essential procedure for normal operation of the OFDM system because of sensitivity to synchronization errors. And when there are frequency offsets in OFDM frame, the loss of orthogonality occurs and the interference problem among several subcarriers is introduced. These fact leads to the requirement for joint implementation of the frame synchronization and frequency offset compensation.

说明：  前已提出的频谱感知方法主要包括匹配滤波器检测、 能量检测、 循环平稳特征检测以及多分辨率频谱感知. 这些方法均为单节点感知方法.然而，在阴影和深度衰落情况下， 单个节点的感知结果并不可靠， 因此， 需要对多个节点的感知结果进行融合，以提高检测可靠性， 即协作感知技术. 文献采用“或” 准则对各个 CR 感知结果进行融合. 文献则提出了基于 D-S 证据理论的协作频谱感知算法，虽然该算法的性能比“或” 准则或“与”准则要好， 但需要存储大量历史信息， 算法的计算复杂度也很高. 文献中分析了采用似然比检测(likelihood ratio test， LRT) 的软判决与采用“与” 准则的硬判决的性能， 结果表明采用软判决的协作感知性能更优(Previously proposed spectrum sensing methods mainly include matched filter detection, energy detection, cyclostationary feature detection and multi-resolution spectrum sensing. These methods are all single node sensing methods. However, in the case of shadow and deep fading, the sensing results of single node are not reliable, so, It is necessary to fuse the sensing results of multiple nodes to improve the detection reliability, i.e. cooperative sensing technology. In the literature, "or" criterion is used to fuse the CR sensing results. In the literature, a cooperative spectrum sensing algorithm based on D-S evidence theory is proposed. Although the performance of the algorithm is better than "or" criterion or "and" criterion, a large amount of historical information needs to be stored, The computational complexity of the algorithm is also very high. In the literature, the performance of the soft decision based on the likelihood ratio test)